Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …

As more and more mobile devices and IoT terminals are connected to the Internet, a huge
amount of spatio-temporal data is generated. In order to cope with the pressure of storing …

With the widespread use of mobile and sensing devices, and the popularity of online map-
based services, such as navigation services, the volume of spatio-temporal data is growing …

Data scientists and researchers utilize enormous spatio-temporal data and build machine
learning models to solve practical problems in diverse domains including intelligent …

With the accelerated growth in spatial data volume, being generated from a wide variety of
sources, the need for efficient storage, retrieval, processing and analyzing of spatial data is …

Privacy Preserving and Anonymity have gained significant concern from the big data
perspective. We have the view that the forthcoming frameworks and theories will establish …

Based on the performance requirements of modern spatio-temporal data mining
applications, in-memory database systems are often used to store and process the data. To …

Location-based services (LBS) are a widely adopted technology that produces large
volumes of spatio-temporal data at high velocity. Spatial data is also being generated from …

This paper proposes a novel approach, EA2-IMDG (Efficient Approach of Using an In-
Memory Data Grid) to improve the performance of replication and scheduling in grid …

In this paper, a heterogeneous spatial-temporal similarity search framework is proposed, in
which the datasets come from multiple different asynchronous data sources. Due to …